• DocumentCode
    484098
  • Title

    Soil Moisture Content Retrieval in an Arid to Semi-Arid Region in the Xinjiang Province

  • Author

    Li, Q. ; Veroustraete, F. ; Dong, Q.H. ; Xi, C. ; Anming, B. ; Liu, T. ; Feng, X.W. ; Willems, P.

  • Author_Institution
    Xinjiang Inst. of Ecology & Geogr. (XIEG), Chinese Acad. of Sci. (CAS)
  • Volume
    2
  • fYear
    2008
  • fDate
    7-11 July 2008
  • Abstract
    In the arid and semi-arid regions of the Xinjiang province in Northwestern China, soil moisture content (SMC) controls vegetation growth. With regard to quantifying SMC, the apparent thermal inertia (ATI) approach was applied. This paper focuses on the determination of ATI using day and night land surface temperatures (LST) from locally received MODIS data. The day and night LST difference is a proxy for the calculation of actual ATI. LST estimation is based on an adapted split window method, based on vegetation cover for emissivity estimation. The validation of the MODIS SMC product was performed with TDI probe measurements. TDI probe SMC measurements were performed at the site Kuerle at about monthly intervals. When the SMC time series is compared with the TDI measurements, a satisfactory correspondence can be observed. The ATI approach seems suitable for 1 m depth SMC profile retrievals in the Xinjiang province using MODIS data at 1times1 km2 resolution.
  • Keywords
    hydrology; land surface temperature; moisture; remote sensing; soil; vegetation; Kuerle; LST; MODIS data; Northwestern China; TDI probe measurements; Xinjiang province; apparent thermal inertia approach; arid region; emissivity estimation; land surface temperature; semiarid region; soil moisture content retrieval; split window method; vegetation cover; Content based retrieval; Land surface; Land surface temperature; MODIS; Moisture control; Performance evaluation; Probes; Sliding mode control; Soil moisture; Vegetation; Apparent Thermal Inertia; Arid regions; MODIS; Soil Moisture Content; Xinjiang province;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium, 2008. IGARSS 2008. IEEE International
  • Conference_Location
    Boston, MA
  • Print_ISBN
    978-1-4244-2807-6
  • Electronic_ISBN
    978-1-4244-2808-3
  • Type

    conf

  • DOI
    10.1109/IGARSS.2008.4779107
  • Filename
    4779107